Search ga_ls9c_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-11-13 11:40:34	ga_ls9c_ard_3-2-1_113080_2021-11-13_final.stac-item
2021-11-13 11:40:57	ga_ls9c_ard_3-2-1_113081_2021-11-13_final.stac-item
2021-11-14 10:41:51	ga_ls9c_ard_3-2-1_103080_2021-11-14_final.stac-item
2021-11-14 10:42:15	ga_ls9c_ard_3-2-1_103081_2021-11-14_final.stac-item
2021-11-15 09:43:09	ga_ls9c_ard_3-2-1_094080_2021-11-15_final.stac-item
2021-11-15 09:43:33	ga_ls9c_ard_3-2-1_094081_2021-11-15_final.stac-item
2021-11-16 10:23:06	ga_ls9c_ard_3-2-1_100080_2021-11-16_final.stac-item
2021-11-16 10:23:30	ga_ls9c_ard_3-2-1_100081_2021-11-16_final.stac-item
2021-11-18 11:43:01	ga_ls9c_ard_3-2-1_113080_2021-11-18_final.stac-item
2021-11-18 11:43:25	ga_ls9c_ard_3-2-1_113081_2021-11-18_final.stac-item
2021-11-19 09:05:39	ga_ls9c_ard_3-2-1_088080_2021-11-18_final.stac-item
2021-11-19 09:06:03	ga_ls9c_ard_3-2-1_088081_2021-11-18_final.stac-item
2021-11-19 10:44:43	ga_ls9c_ard_3-2-1_104081_2021-11-19_final.stac-item
2021-11-20 09:45:36	ga_ls9c_ard_3-2-1_094080_2021-11-20_final.stac-item
2021-12-04 09:25:17	ga_ls9c_ard_3-2-1_091080_2021-12-03_final.stac-item
2021-12-04 09:25:41	ga_ls9c_ard_3-2-1_091081_2021-12-03_final.stac-item
2021-12-04 11:04:10	ga_ls9c_ard_3-2-1_107080_2021-12-04_final.stac-item
2021-12-04 11:04:34	ga_ls9c_ard_3-2-1_107081_2021-12-04_final.stac-item
2021-12-05 10:08:32	ga_ls9c_ard_3-2-1_098080_2021-12-05_final.stac-item
2021-12-05 10:08:56	ga_ls9c_ard_3-2-1_098081_2021-12-05_final.stac-item
2021-12-05 11:47:25	ga_ls9c_ard_3-2-1_114080_2021-12-05_final.stac-item
2021-12-05 11:47:49	ga_ls9c_ard_3-2-1_114081_2021-12-05_final.stac-item
2021-12-06 09:12:54	ga_ls9c_ard_3-2-1_089080_2021-12-05_final.stac-item
2021-12-06 09:13:18	ga_ls9c_ard_3-2-1_089081_2021-12-05_final.stac-item
2021-12-09 09:43:46	ga_ls9c_ard_3-2-1_094080_2021-12-09_final.stac-item
2021-12-09 09:44:10	ga_ls9c_ard_3-2-1_094081_2021-12-09_final.stac-item
2021-12-09 11:22:39	ga_ls9c_ard_3-2-1_110080_2021-12-09_final.stac-item
2021-12-09 11:23:03	ga_ls9c_ard_3-2-1_110081_2021-12-09_final.stac-item
2021-12-10 10:27:01	ga_ls9c_ard_3-2-1_101080_2021-12-10_final.stac-item
2021-12-10 10:27:25	ga_ls9c_ard_3-2-1_101081_2021-12-10_final.stac-item
2022-01-15 10:02:12	ga_ls9c_ard_3-2-1_097080_2022-01-15_final.stac-item
2022-01-15 10:02:35	ga_ls9c_ard_3-2-1_097081_2022-01-15_final.stac-item
2022-01-15 11:41:29	ga_ls9c_ard_3-2-1_113081_2022-01-15_final.stac-item
2022-01-16 10:45:28	ga_ls9c_ard_3-2-1_104080_2022-01-16_final.stac-item
2022-01-16 10:45:52	ga_ls9c_ard_3-2-1_104081_2022-01-16_final.stac-item
2022-01-19 11:16:22	ga_ls9c_ard_3-2-1_109080_2022-01-19_final.stac-item
2022-01-19 11:16:46	ga_ls9c_ard_3-2-1_109081_2022-01-19_final.stac-item
2022-01-20 10:20:45	ga_ls9c_ard_3-2-1_100080_2022-01-20_final.stac-item
2022-01-20 10:21:09	ga_ls9c_ard_3-2-1_100081_2022-01-20_final.stac-item
2022-01-21 09:25:32	ga_ls9c_ard_3-2-1_091081_2022-01-20_final.stac-item
2023-12-01 09:31:21	ga_ls9c_ard_3-2-1_092080_2023-12-01_final.stac-item
2023-12-01 09:31:45	ga_ls9c_ard_3-2-1_092081_2023-12-01_final.stac-item
2023-12-01 11:10:14	ga_ls9c_ard_3-2-1_108080_2023-12-01_final.stac-item
2023-12-01 11:10:38	ga_ls9c_ard_3-2-1_108081_2023-12-01_final.stac-item
2023-12-02 10:14:37	ga_ls9c_ard_3-2-1_099080_2023-12-02_final.stac-item
2023-12-02 10:15:01	ga_ls9c_ard_3-2-1_099081_2023-12-02_final.stac-item
2023-12-02 11:53:30	ga_ls9c_ard_3-2-1_115080_2023-12-02_final.stac-item
2023-12-03 09:19:23	ga_ls9c_ard_3-2-1_090081_2023-12-02_final.stac-item
2023-12-03 10:57:52	ga_ls9c_ard_3-2-1_106080_2023-12-03_final.stac-item
2023-12-03 10:58:16	ga_ls9c_ard_3-2-1_106081_2023-12-03_final.stac-item
2023-12-04 10:02:14	ga_ls9c_ard_3-2-1_097080_2023-12-04_final.stac-item
2023-12-04 10:02:38	ga_ls9c_ard_3-2-1_097081_2023-12-04_final.stac-item
2023-12-06 11:29:07	ga_ls9c_ard_3-2-1_111081_2023-12-06_final.stac-item
2023-12-07 10:33:05	ga_ls9c_ard_3-2-1_102080_2023-12-07_final.stac-item
2023-12-07 10:33:29	ga_ls9c_ard_3-2-1_102081_2023-12-07_final.stac-item
2023-12-08 09:37:27	ga_ls9c_ard_3-2-1_093080_2023-12-08_final.stac-item
2023-12-08 09:37:51	ga_ls9c_ard_3-2-1_093081_2023-12-08_final.stac-item
2023-12-12 10:52:04	ga_ls9c_ard_3-2-1_105081_2023-12-12_final.stac-item
2023-12-13 09:56:04	ga_ls9c_ard_3-2-1_096080_2023-12-13_final.stac-item
2023-12-13 09:56:28	ga_ls9c_ard_3-2-1_096081_2023-12-13_final.stac-item
2023-12-13 11:34:57	ga_ls9c_ard_3-2-1_112080_2023-12-13_final.stac-item
2023-12-13 11:35:21	ga_ls9c_ard_3-2-1_112081_2023-12-13_final.stac-item
2023-12-14 10:39:20	ga_ls9c_ard_3-2-1_103080_2023-12-14_final.stac-item
2023-12-14 10:39:44	ga_ls9c_ard_3-2-1_103081_2023-12-14_final.stac-item
2023-12-15 09:43:43	ga_ls9c_ard_3-2-1_094080_2023-12-15_final.stac-item
2023-12-15 09:44:07	ga_ls9c_ard_3-2-1_094081_2023-12-15_final.stac-item
2023-12-15 11:22:37	ga_ls9c_ard_3-2-1_110080_2023-12-15_final.stac-item
2023-12-15 11:23:00	ga_ls9c_ard_3-2-1_110081_2023-12-15_final.stac-item
2024-01-11 11:04:02	ga_ls9c_ard_3-2-1_107080_2024-01-11_final.stac-item
2024-01-11 11:04:26	ga_ls9c_ard_3-2-1_107081_2024-01-11_final.stac-item
2024-01-12 10:08:49	ga_ls9c_ard_3-2-1_098081_2024-01-12_final.stac-item
2024-01-12 11:47:18	ga_ls9c_ard_3-2-1_114080_2024-01-12_final.stac-item
2024-01-12 11:47:42	ga_ls9c_ard_3-2-1_114081_2024-01-12_final.stac-item
2024-01-13 09:13:12	ga_ls9c_ard_3-2-1_089081_2024-01-12_final.stac-item
2024-01-13 10:51:41	ga_ls9c_ard_3-2-1_105080_2024-01-13_final.stac-item
2024-01-13 10:52:05	ga_ls9c_ard_3-2-1_105081_2024-01-13_final.stac-item
2024-01-14 09:56:03	ga_ls9c_ard_3-2-1_096080_2024-01-14_final.stac-item
2024-01-14 09:56:27	ga_ls9c_ard_3-2-1_096081_2024-01-14_final.stac-item
2024-01-14 11:34:57	ga_ls9c_ard_3-2-1_112080_2024-01-14_final.stac-item
2024-01-14 11:35:20	ga_ls9c_ard_3-2-1_112081_2024-01-14_final.stac-item
2024-01-15 10:39:19	ga_ls9c_ard_3-2-1_103080_2024-01-15_final.stac-item
2024-01-15 10:39:43	ga_ls9c_ard_3-2-1_103081_2024-01-15_final.stac-item
2024-02-04 11:53:31	ga_ls9c_ard_3-2-1_115080_2024-02-04_final.stac-item
2024-02-05 09:19:24	ga_ls9c_ard_3-2-1_090081_2024-02-04_final.stac-item
2024-02-05 10:58:17	ga_ls9c_ard_3-2-1_106081_2024-02-05_final.stac-item
2024-02-13 10:08:25	ga_ls9c_ard_3-2-1_098080_2024-02-13_final.stac-item
2024-02-13 10:08:49	ga_ls9c_ard_3-2-1_098081_2024-02-13_final.stac-item
2024-02-13 11:47:18	ga_ls9c_ard_3-2-1_114080_2024-02-13_final.stac-item
2024-02-13 11:47:42	ga_ls9c_ard_3-2-1_114081_2024-02-13_final.stac-item
2024-02-14 09:12:47	ga_ls9c_ard_3-2-1_089080_2024-02-13_final.stac-item
2024-02-14 09:13:11	ga_ls9c_ard_3-2-1_089081_2024-02-13_final.stac-item
2024-02-14 10:52:04	ga_ls9c_ard_3-2-1_105081_2024-02-14_final.stac-item
2024-02-15 09:56:01	ga_ls9c_ard_3-2-1_096080_2024-02-15_final.stac-item
2024-02-15 09:56:25	ga_ls9c_ard_3-2-1_096081_2024-02-15_final.stac-item
2024-02-15 11:34:54	ga_ls9c_ard_3-2-1_112080_2024-02-15_final.stac-item
2024-02-15 11:35:18	ga_ls9c_ard_3-2-1_112081_2024-02-15_final.stac-item
2024-02-16 10:39:40	ga_ls9c_ard_3-2-1_103081_2024-02-16_final.stac-item
2024-02-19 11:10:30	ga_ls9c_ard_3-2-1_108081_2024-02-19_final.stac-item
2024-02-20 10:14:27	ga_ls9c_ard_3-2-1_099080_2024-02-20_final.stac-item
2024-02-20 10:14:51	ga_ls9c_ard_3-2-1_099081_2024-02-20_final.stac-item

Return to ga_ls9c_ard_3 whole collection overview

ga_ls9c_ard_3: Geoscience Australia Landsat 9 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years